Microsoft's AI safety policies - Microsoft On the Issues

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# An update prepared for the UK AI Safety Summit

## Introduction

Microsoft welcomes the opportunity to share information about how we are advancing responsible artificial intelligence (AI), including by implementing voluntary commitments that we and others made at the White House convening in July. [\[1\]](https://blogs.microsoft.com/on-the-issues/2023/10/26/microsofts-ai-safety-policies/#_edn1) Visibility into our policies and how we put them into practice helps to inform and accelerate responsible technology development and deployment. It can also strengthen public-private partnerships driving progress on AI safety, security, and trust.

As a developer and deployer of AI models, API services, and applications, Microsoft works to map, measure, and manage risk and apply multi-layered governance that embeds robust checks on processes and outcomes. For frontier models specifically, Microsoft works closely with OpenAI.

Since 2019, Microsoft and OpenAI have been engaged in a long-term collaboration to develop advanced AI systems, underpinned by a shared commitment to responsible development and deployment practices. Microsoft’s efforts to deploy frontier models at scale build upon and complement OpenAI’s leading model development practices. For a comprehensive accounting of the model development and deployment practices that apply to OpenAI’s frontier models as deployed in Microsoft’s offerings, OpenAI’s and Microsoft’s responses to the UK Government’s AI Safety Policies Request should be read together.

The UK Government has requested information about nine areas of practice and investment, many of which relate to the voluntary commitments we published in July. [\[2\]](https://blogs.microsoft.com/on-the-issues/2023/10/26/microsofts-ai-safety-policies/#_edn2) We have indicated these points of connection at the beginning of each section, distinguishing between the White House Voluntary Commitments and the additional independent commitments we made as Microsoft (denoted with blue), as also illustrated in the chart below.

![](https://blogs.microsoft.com/wp-content/uploads/prod/sites/5/2023/10/white-house-camparison-chart-EDIT.jpg)

We also recognize that each of the nine areas of practice accrue to _mapping_, _measuring_, _managing_, and _governing_ AI model development and deployment risk, the structure and terminology offered by the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF). [\[3\]](https://blogs.microsoft.com/on-the-issues/2023/10/26/microsofts-ai-safety-policies/#_edn3) To help provide context on how we are realizing our commitment to implement the NIST AI RMF, the terminology of “map, measure, manage, and govern” is used throughout this response to the UK Government’s AI Safety Polic

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